Nikolaj Volgushev

DEMO: Integrating MPC in Big Data Workflows

Azer Bestavros, Andrei Lapets, Mayank Varia, 2016, IACR Cryptol. ePrint Arch..

Secure MPC for Analytics as a Web Application

Azer Bestavros, Andrei Lapets, Mayank Varia, 2016, 2016 IEEE Cybersecurity Development (SecDev).

Design and Deployment of Usable , Scalable MPC

Malte Schwarzkopf, Azer Bestavros, Mayank Varia, 2017 .

New Primitives for Actively-Secure MPC over Rings with Applications to Private Machine Learning

Marcel Keller, Ivan Damgård, Daniel Escudero, 2019, 2019 IEEE Symposium on Security and Privacy (SP).

Conclave: secure multi-party computation on big data

Azer Bestavros, Andrei Lapets, Mayank Varia, 2019, EuroSys.

Scalable Secure Multi-party Network Vulnerability Analysis via Symbolic Optimization

Azer Bestavros, Andrei Lapets, Nikolaj Volgushev, 2017, 2017 IEEE Security and Privacy Workshops (SPW).

Conclave: secure multi-party computation on big data

Malte Schwarzkopf, Azer Bestavros, Mayank Varia, 2019, European Conference on Computer Systems.

Secure multi-party computation for analytics deployed as a lightweight web application

Mayank Varia, Azer Bestavros, Nikolaj Volgushev, 2016 .

Secure training of decision trees with continuous attributes

Daniel Escudero, Nikolaj Volgushev, Mark Abspoel, 2020, IACR Cryptol. ePrint Arch..